ACL2(ml): Machine-Learning for ACL2

ABSTRACT. ACL2(ml) is an extension for the Emacs interface of ACL2. It uses machine-learning to help the ACL2 user during the proof-development. ACL2(ml) gives hints to the user in the form of families of similar theorems, and generates auxiliary lemmas automatically. In this paper, we present the two most recent extensions for ACL2(ml). First, ACL2(ml) can suggest families of similar definitions, in addition to the families of similar theorems. Second, the lemma generation tool has been improved with a method to generate preconditions based on the guard mechanism of ACL2. The user of ACL2(ml) can also invoke directly the latter extension to obtain preconditions for his conjectures.